Learning Python :: learn to code like a professional with Python--an open source, versatile, and powerful programming language /
Annotation
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Birmingham :
Packt Publishing,
2015.
|
| Schriftenreihe: | Community experience distilled.
|
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Zusammenfassung: | Annotation |
| Beschreibung: | Includes index. |
| Beschreibung: | 1 online resource (xiv, 412 pages) : illustrations |
| ISBN: | 9781785284571 1785284576 1783551712 9781783551712 |
Internformat
MARC
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| 520 | 8 | |a Annotation |b Learn to code like a professional with Python an open source, versatile and powerful programming languageAbout This Book Learn the fundamentals of programming with Python one of the best languages ever created Develop a strong set of programming skills that you will be able to express in any situation, on every platform, thanks to Python's portability Create outstanding applications of all kind, from websites to scripting, and from GUIs to data scienceWho This Book Is ForPython is the most popular introductory teaching language in U.S. top computer science universities, so if you are new to software development, or maybe you have little experience, and would like to start off on the right foot, then this language and this book are what you need. Its amazing design and portability will help you become productive regardless of the environment you choose to work with. What You Will Learn Get Python up and running on Windows, Mac, and Linux in no time Grasp the fundamental concepts of coding, along with the basics of data structures and control flow. Write elegant, reusable, and efficient code in any situation Understand when to use the functional or the object oriented programming approach Create bulletproof, reliable software by writing tests to support your code Explore examples of GUIs, scripting, data science and web applications Learn to be independent, capable of fetching any resource you need, as well as dig deeperIn DetailLearning Python has a dynamic and varied nature. It reads easily and lays a good foundation for those who are interested in digging deeper. It has a practical and example-oriented approach through which both the introductory and the advanced topics are explained. Starting with the fundamentals of programming and Python, it ends by exploring very different topics, like GUIs, web apps and data science. The book takes you all the way to creating a fully fledged application. The book begins by exploring the essentials of programming, data structures and teaches you how to manipulate them. It then moves on to controlling the flow of a program and writing reusable and error proof code. You will then explore different programming paradigms that will allow you to find the best approach to any situation, and also learn how to perform performance optimization as well as effective debugging. Throughout, the book steers you through the various types of applications, and it concludes with a complete mini website built upon all the concepts that you learned. Style and approachThis book is an easy-to-follow guide that will take you from a novice to the proficient level at a comfortable pace, using a lot of simple but effective examples. Each topic is explained thoroughly, and pointers are left for the more inquisitive readers to dig deeper and expand their knowledge. | |
| 505 | 0 | |a Cover ; Copyright; Credits; About the Author; Acknowledgements; About the Reviewers; www.PacktPub.com; Table of Contents; Preface; Chapter 1: Introduction and First Steps -- Take a Deep Breath; A proper introduction; Enter the Python; About Python; Portability; Coherence; Developer productivity; An extensive library; Software quality; Software integration; Satisfaction and enjoyment; What are the drawbacks?; Who is using Python today?; Setting up the environment; Python 2 versus Python 3 -- the great debate; Installing Python; Setting up the Python interpreter; About virtualenv. | |
| 505 | 8 | |a Your first virtual environmentYour friend, the console; How you can run a Python program; Running Python scripts; Running the Python interactive shell; Running Python as a service; Running Python as a GUI application; How is Python code organized; How do we use modules and packages; Python's execution model; Names and namespaces; Scopes; Object and classes; Guidelines on how to write good code; The Python culture; A note on the IDEs; Summary; Chapter 2: Built-in Data Types; Everything is an object; Mutable or immutable? That is the question; Numbers; Integers; Booleans; Reals; Complex numbers. | |
| 505 | 8 | |a Fractions and decimalsImmutable sequences; Strings and bytes; Encoding and decoding strings; Indexing and slicing strings; Tuples; Mutable sequences; Lists; Byte arrays; Set types; Mapping types -- dictionaries; The collections module; Named tuples; Defaultdict; ChainMap; Final considerations; Small values caching; How to choose data structures; About indexing and slicing; About the names; Summary; Chapter 3: Iterating and Making Decisions; Conditional programming; A specialized else: elif; The ternary operator; Looping; The for loop; Iterating over a range; Iterating over a sequence. | |
| 505 | 8 | |a Iterators and iterablesIterating over multiple sequences; The while loop; The break and continue statements; A special else clause; Putting this all together; Example 1 -- a prime generator; Example 2 -- applying discounts; A quick peek at the itertools module; Infinite iterators; Iterators terminating on the shortest input sequence; Combinatoric generators; Summary; Chapter 4: Functions, the Building Blocks of Code; Why use functions?; Reduce code duplication; Splitting a complex task; Hide implementation details; Improve readability; Improve traceability; Scopes and name resolution. | |
| 505 | 8 | |a The global and nonlocal statementsInput parameters; Argument passing; Assignment to argument names don't affect the caller; Changing a mutable affects the caller; How to specify input parameters; Positional arguments; Keyword arguments and default values; Variable positional arguments; Variable keyword arguments; Keyword-only arguments; Combining input parameters; Avoid the trap! Mutable defaults; Return values; Returning multiple values; A few useful tips; Recursive functions; Anonymous functions; Function attributes; Built-in functions; One final example; Documenting your code. | |
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| 776 | 0 | 8 | |i Print version: |a Romano, Fabrizio. |t Learning Python. |d Birmingham : Packt Publishing, 2015. |
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| contents | Cover ; Copyright; Credits; About the Author; Acknowledgements; About the Reviewers; www.PacktPub.com; Table of Contents; Preface; Chapter 1: Introduction and First Steps -- Take a Deep Breath; A proper introduction; Enter the Python; About Python; Portability; Coherence; Developer productivity; An extensive library; Software quality; Software integration; Satisfaction and enjoyment; What are the drawbacks?; Who is using Python today?; Setting up the environment; Python 2 versus Python 3 -- the great debate; Installing Python; Setting up the Python interpreter; About virtualenv. Your first virtual environmentYour friend, the console; How you can run a Python program; Running Python scripts; Running the Python interactive shell; Running Python as a service; Running Python as a GUI application; How is Python code organized; How do we use modules and packages; Python's execution model; Names and namespaces; Scopes; Object and classes; Guidelines on how to write good code; The Python culture; A note on the IDEs; Summary; Chapter 2: Built-in Data Types; Everything is an object; Mutable or immutable? That is the question; Numbers; Integers; Booleans; Reals; Complex numbers. Fractions and decimalsImmutable sequences; Strings and bytes; Encoding and decoding strings; Indexing and slicing strings; Tuples; Mutable sequences; Lists; Byte arrays; Set types; Mapping types -- dictionaries; The collections module; Named tuples; Defaultdict; ChainMap; Final considerations; Small values caching; How to choose data structures; About indexing and slicing; About the names; Summary; Chapter 3: Iterating and Making Decisions; Conditional programming; A specialized else: elif; The ternary operator; Looping; The for loop; Iterating over a range; Iterating over a sequence. Iterators and iterablesIterating over multiple sequences; The while loop; The break and continue statements; A special else clause; Putting this all together; Example 1 -- a prime generator; Example 2 -- applying discounts; A quick peek at the itertools module; Infinite iterators; Iterators terminating on the shortest input sequence; Combinatoric generators; Summary; Chapter 4: Functions, the Building Blocks of Code; Why use functions?; Reduce code duplication; Splitting a complex task; Hide implementation details; Improve readability; Improve traceability; Scopes and name resolution. The global and nonlocal statementsInput parameters; Argument passing; Assignment to argument names don't affect the caller; Changing a mutable affects the caller; How to specify input parameters; Positional arguments; Keyword arguments and default values; Variable positional arguments; Variable keyword arguments; Keyword-only arguments; Combining input parameters; Avoid the trap! Mutable defaults; Return values; Returning multiple values; A few useful tips; Recursive functions; Anonymous functions; Function attributes; Built-in functions; One final example; Documenting your code. |
| ctrlnum | (OCoLC)935333557 |
| dewey-full | 005.133 |
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| discipline | Informatik |
| format | Electronic eBook |
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Starting with the fundamentals of programming and Python, it ends by exploring very different topics, like GUIs, web apps and data science. The book takes you all the way to creating a fully fledged application. The book begins by exploring the essentials of programming, data structures and teaches you how to manipulate them. It then moves on to controlling the flow of a program and writing reusable and error proof code. You will then explore different programming paradigms that will allow you to find the best approach to any situation, and also learn how to perform performance optimization as well as effective debugging. Throughout, the book steers you through the various types of applications, and it concludes with a complete mini website built upon all the concepts that you learned. Style and approachThis book is an easy-to-follow guide that will take you from a novice to the proficient level at a comfortable pace, using a lot of simple but effective examples. 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| id | ZDB-4-EBA-ocn935333557 |
| illustrated | Illustrated |
| indexdate | 2024-11-27T13:27:00Z |
| institution | BVB |
| isbn | 9781785284571 1785284576 1783551712 9781783551712 |
| language | English |
| oclc_num | 935333557 |
| open_access_boolean | |
| owner | MAIN DE-863 DE-BY-FWS |
| owner_facet | MAIN DE-863 DE-BY-FWS |
| physical | 1 online resource (xiv, 412 pages) : illustrations |
| psigel | ZDB-4-EBA |
| publishDate | 2015 |
| publishDateSearch | 2015 |
| publishDateSort | 2015 |
| publisher | Packt Publishing, |
| record_format | marc |
| series | Community experience distilled. |
| series2 | Community experience distilled |
| spelling | Romano, Fabrizio, author. Learning Python : learn to code like a professional with Python--an open source, versatile, and powerful programming language / Fabrizio Romano. Birmingham : Packt Publishing, 2015. 1 online resource (xiv, 412 pages) : illustrations text txt rdacontent computer c rdamedia online resource cr rdacarrier Community experience distilled Online resource; title from cover (viewed January 15, 2016). Includes index. Annotation Learn to code like a professional with Python an open source, versatile and powerful programming languageAbout This Book Learn the fundamentals of programming with Python one of the best languages ever created Develop a strong set of programming skills that you will be able to express in any situation, on every platform, thanks to Python's portability Create outstanding applications of all kind, from websites to scripting, and from GUIs to data scienceWho This Book Is ForPython is the most popular introductory teaching language in U.S. top computer science universities, so if you are new to software development, or maybe you have little experience, and would like to start off on the right foot, then this language and this book are what you need. Its amazing design and portability will help you become productive regardless of the environment you choose to work with. What You Will Learn Get Python up and running on Windows, Mac, and Linux in no time Grasp the fundamental concepts of coding, along with the basics of data structures and control flow. Write elegant, reusable, and efficient code in any situation Understand when to use the functional or the object oriented programming approach Create bulletproof, reliable software by writing tests to support your code Explore examples of GUIs, scripting, data science and web applications Learn to be independent, capable of fetching any resource you need, as well as dig deeperIn DetailLearning Python has a dynamic and varied nature. It reads easily and lays a good foundation for those who are interested in digging deeper. It has a practical and example-oriented approach through which both the introductory and the advanced topics are explained. Starting with the fundamentals of programming and Python, it ends by exploring very different topics, like GUIs, web apps and data science. The book takes you all the way to creating a fully fledged application. The book begins by exploring the essentials of programming, data structures and teaches you how to manipulate them. It then moves on to controlling the flow of a program and writing reusable and error proof code. You will then explore different programming paradigms that will allow you to find the best approach to any situation, and also learn how to perform performance optimization as well as effective debugging. Throughout, the book steers you through the various types of applications, and it concludes with a complete mini website built upon all the concepts that you learned. Style and approachThis book is an easy-to-follow guide that will take you from a novice to the proficient level at a comfortable pace, using a lot of simple but effective examples. Each topic is explained thoroughly, and pointers are left for the more inquisitive readers to dig deeper and expand their knowledge. Cover ; Copyright; Credits; About the Author; Acknowledgements; About the Reviewers; www.PacktPub.com; Table of Contents; Preface; Chapter 1: Introduction and First Steps -- Take a Deep Breath; A proper introduction; Enter the Python; About Python; Portability; Coherence; Developer productivity; An extensive library; Software quality; Software integration; Satisfaction and enjoyment; What are the drawbacks?; Who is using Python today?; Setting up the environment; Python 2 versus Python 3 -- the great debate; Installing Python; Setting up the Python interpreter; About virtualenv. Your first virtual environmentYour friend, the console; How you can run a Python program; Running Python scripts; Running the Python interactive shell; Running Python as a service; Running Python as a GUI application; How is Python code organized; How do we use modules and packages; Python's execution model; Names and namespaces; Scopes; Object and classes; Guidelines on how to write good code; The Python culture; A note on the IDEs; Summary; Chapter 2: Built-in Data Types; Everything is an object; Mutable or immutable? That is the question; Numbers; Integers; Booleans; Reals; Complex numbers. Fractions and decimalsImmutable sequences; Strings and bytes; Encoding and decoding strings; Indexing and slicing strings; Tuples; Mutable sequences; Lists; Byte arrays; Set types; Mapping types -- dictionaries; The collections module; Named tuples; Defaultdict; ChainMap; Final considerations; Small values caching; How to choose data structures; About indexing and slicing; About the names; Summary; Chapter 3: Iterating and Making Decisions; Conditional programming; A specialized else: elif; The ternary operator; Looping; The for loop; Iterating over a range; Iterating over a sequence. Iterators and iterablesIterating over multiple sequences; The while loop; The break and continue statements; A special else clause; Putting this all together; Example 1 -- a prime generator; Example 2 -- applying discounts; A quick peek at the itertools module; Infinite iterators; Iterators terminating on the shortest input sequence; Combinatoric generators; Summary; Chapter 4: Functions, the Building Blocks of Code; Why use functions?; Reduce code duplication; Splitting a complex task; Hide implementation details; Improve readability; Improve traceability; Scopes and name resolution. The global and nonlocal statementsInput parameters; Argument passing; Assignment to argument names don't affect the caller; Changing a mutable affects the caller; How to specify input parameters; Positional arguments; Keyword arguments and default values; Variable positional arguments; Variable keyword arguments; Keyword-only arguments; Combining input parameters; Avoid the trap! Mutable defaults; Return values; Returning multiple values; A few useful tips; Recursive functions; Anonymous functions; Function attributes; Built-in functions; One final example; Documenting your code. Python (Computer program language) http://id.loc.gov/authorities/subjects/sh96008834 Python (Langage de programmation) COMPUTERS Programming Languages Python. bisacsh Python (Computer program language) fast has work: Learning Python (Text) https://id.oclc.org/worldcat/entity/E39PCGr63VK3wC4kDhYttHfMMX https://id.oclc.org/worldcat/ontology/hasWork Print version: Romano, Fabrizio. Learning Python. Birmingham : Packt Publishing, 2015. Community experience distilled. http://id.loc.gov/authorities/names/no2011030603 FWS01 ZDB-4-EBA FWS_PDA_EBA https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=1133614 Volltext |
| spellingShingle | Romano, Fabrizio Learning Python : learn to code like a professional with Python--an open source, versatile, and powerful programming language / Community experience distilled. Cover ; Copyright; Credits; About the Author; Acknowledgements; About the Reviewers; www.PacktPub.com; Table of Contents; Preface; Chapter 1: Introduction and First Steps -- Take a Deep Breath; A proper introduction; Enter the Python; About Python; Portability; Coherence; Developer productivity; An extensive library; Software quality; Software integration; Satisfaction and enjoyment; What are the drawbacks?; Who is using Python today?; Setting up the environment; Python 2 versus Python 3 -- the great debate; Installing Python; Setting up the Python interpreter; About virtualenv. Your first virtual environmentYour friend, the console; How you can run a Python program; Running Python scripts; Running the Python interactive shell; Running Python as a service; Running Python as a GUI application; How is Python code organized; How do we use modules and packages; Python's execution model; Names and namespaces; Scopes; Object and classes; Guidelines on how to write good code; The Python culture; A note on the IDEs; Summary; Chapter 2: Built-in Data Types; Everything is an object; Mutable or immutable? That is the question; Numbers; Integers; Booleans; Reals; Complex numbers. Fractions and decimalsImmutable sequences; Strings and bytes; Encoding and decoding strings; Indexing and slicing strings; Tuples; Mutable sequences; Lists; Byte arrays; Set types; Mapping types -- dictionaries; The collections module; Named tuples; Defaultdict; ChainMap; Final considerations; Small values caching; How to choose data structures; About indexing and slicing; About the names; Summary; Chapter 3: Iterating and Making Decisions; Conditional programming; A specialized else: elif; The ternary operator; Looping; The for loop; Iterating over a range; Iterating over a sequence. Iterators and iterablesIterating over multiple sequences; The while loop; The break and continue statements; A special else clause; Putting this all together; Example 1 -- a prime generator; Example 2 -- applying discounts; A quick peek at the itertools module; Infinite iterators; Iterators terminating on the shortest input sequence; Combinatoric generators; Summary; Chapter 4: Functions, the Building Blocks of Code; Why use functions?; Reduce code duplication; Splitting a complex task; Hide implementation details; Improve readability; Improve traceability; Scopes and name resolution. The global and nonlocal statementsInput parameters; Argument passing; Assignment to argument names don't affect the caller; Changing a mutable affects the caller; How to specify input parameters; Positional arguments; Keyword arguments and default values; Variable positional arguments; Variable keyword arguments; Keyword-only arguments; Combining input parameters; Avoid the trap! Mutable defaults; Return values; Returning multiple values; A few useful tips; Recursive functions; Anonymous functions; Function attributes; Built-in functions; One final example; Documenting your code. Python (Computer program language) http://id.loc.gov/authorities/subjects/sh96008834 Python (Langage de programmation) COMPUTERS Programming Languages Python. bisacsh Python (Computer program language) fast |
| subject_GND | http://id.loc.gov/authorities/subjects/sh96008834 |
| title | Learning Python : learn to code like a professional with Python--an open source, versatile, and powerful programming language / |
| title_auth | Learning Python : learn to code like a professional with Python--an open source, versatile, and powerful programming language / |
| title_exact_search | Learning Python : learn to code like a professional with Python--an open source, versatile, and powerful programming language / |
| title_full | Learning Python : learn to code like a professional with Python--an open source, versatile, and powerful programming language / Fabrizio Romano. |
| title_fullStr | Learning Python : learn to code like a professional with Python--an open source, versatile, and powerful programming language / Fabrizio Romano. |
| title_full_unstemmed | Learning Python : learn to code like a professional with Python--an open source, versatile, and powerful programming language / Fabrizio Romano. |
| title_short | Learning Python : |
| title_sort | learning python learn to code like a professional with python an open source versatile and powerful programming language |
| title_sub | learn to code like a professional with Python--an open source, versatile, and powerful programming language / |
| topic | Python (Computer program language) http://id.loc.gov/authorities/subjects/sh96008834 Python (Langage de programmation) COMPUTERS Programming Languages Python. bisacsh Python (Computer program language) fast |
| topic_facet | Python (Computer program language) Python (Langage de programmation) COMPUTERS Programming Languages Python. |
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